探索区域供暖系统:用于增强可解释性的SCADA数据集
Stevica Cvetković1, Milan Zdravković2, Marko Ignjatović2
1Faculty of Electronic Engineering, University of Niš, Aleksandra Medvedeva 4, 18104 Niš, Serbia.
Data in brief
|February 13, 2025
概括
本研究提供了来自塞尔维亚尼什的区域供暖系统 (DHS) 的宝贵数据集,涵盖了五年的运营数据. 这些数据支持智能城市和能源效率的研究.
科学领域:
- 能源系统工程 能源系统工程
- 智慧城市技术 智慧城市技术
- 环境科学 环境科学
背景情况:
- 优化区域供暖系统 (DHS) 对可持续性和降低成本至关重要.
- 获得全面的,现实世界的数据对于有效的DHS优化至关重要.
- 现有的数据集可能缺乏高级分析所需的细节性或范围.
研究的目的:
- 介绍和描述来自现实世界DHS的新,预处理的数据集.
- 为研究人员和从业人员提供智能城市,能源效率和DHS研究的有价值数据.
- 促进DHS优化新算法和模型的开发和验证.
主要方法:
- 从五个加热变电站的DHS收集了五年 (2019-2024) 的现场数据.
- 使用SCADA系统捕获关键参数:温度 (供应/回报,初级/二级流),能量传输和室外温度.
- 应用已建立的方法来进行全面的数据预处理,确保每小时一次的解决和没有错误/缺失值.
主要成果:
- 一个高质量的,均间隔的DHS操作参数每小时数据集.
- 预先探索性数据分析,揭示潜在的数据关系和分布.
- 数据集已经准备好在研究和实际应用中立即使用.
结论:
- 这一数据集是智能城市,能源效率和区域供暖研究社区的重要资源.
- 这些数据可以更深入地了解DHS的表现,并促进开发优化的运营策略.
- 这些现场数据的可用性支持了可持续城市能源管理的进步.
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